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All Journal TEKNIK INFORMATIKA JUITA : Jurnal Informatika JOIV : International Journal on Informatics Visualization Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Journal of Dinda : Data Science, Information Technology, and Data Analytics JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Informatika: Jurnal Pengembangan IT JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan)
Sudianto
Institut Teknologi Telkom Purwokerto
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Public Health Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
COMPARISON OF RANDOM FOREST AND SUPPORT VECTOR MACHINE METHODS ON TWITTER SENTIMENT ANALYSIS (CASE STUDY: INTERNET SELEBGRAM RACHEL VENNYA ESCAPE FROM QUARANTINE) Sudianto; Puspa Wahyuningtias; Hapsari Warih Utami; Uli Ahda Raihan; Hasna Nur Hanifah; Yehezkiel Nicholas Adanson
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.168

Abstract

Coronavirus (Covid-19) is an infectious disease spreading widely throughout the world. Covid-19 has been declared a pandemic. Transmission of Covid-19 spreads through the Droplet. The Indonesian government has made efforts to prevent the spread of Covid-19, one of which is the implementation of quarantine regulated through Circular Letter Number 8 of 2021 concerning International Travel Health Protocols. The case of Selebgram Rachel Vennya's escape from quarantine had become a trending topic on Twitter. Many Twitter users in Indonesia gave their opinions and comments on this case. Therefore, it is necessary to research public sentiment on the case of the escape of Selebgram Rachel Vennya from quarantine. The data used is taken from netizen comments from social media, namely Twitter, in the form of positive and negative comments; the algorithms used are Random Forest (RF) and Support Vector Machine (SVM). This study aims to compare the classification method to public sentiment regarding the case of the escape of Selebgram Rachel Vennya from quarantine using the Random Forest and SVM methods. The classification results show that the Random Forest algorithm has an accuracy value of 94%. In comparison, the SVM algorithm classification results get an accuracy value of 93%. So it can be concluded, Twitter sentiment analysis in the case study of Rachel Venya's escape from quarantine that the Random Forest algorithm got the best results.
Co-Authors Abdul Aziz Akbar Maulana Yusuf Al Fachri, Moh Aminullah Aldean, Muhammad Yusril Alif Aryaputra Alvina Tahta Indal Karim Andini Mulia Kusumaningrum Asti Dwi Sripamuji Ayuningtyas, Puji Bagas Prihatnowo Cahyo Prihantoro Chandra Ayunda Apta Soemedhy Dedy Agung Prabowo Dwi Puspa Martiyaningsih Egidya Zalsabila Hapsari Warih Utami Hasna Nur Hanifah Hermanto, Agyl Restu Hikari Adriansyah Hilmawan, Muhammad David Imada Riski Ramadhanti Jonathan Indra Chelidivano Juan Arton Arton Masheli Julian Saputra Khusnul Khatimah Lasama, Jerry LILIK BUDIPRASETYO M Yoka Fathoni Mahda Laina Arnumukti Martin Parhusip Muhammad Hilmi Kafabi Muhammad Rahaji Jhaerol Naden, Yoga Naufal, Adzan Bari Nawang Anggita Winanti Nicolaus Euclides Wahyu Nugroho Nora Trivetisia Nursatio Nugroho Puspa Wahyuningtias Rafi Wika Ananda Rumpoko Ramadhani, Rafian Reni Dyah Wahyuningrum Reni Dyah Wahyuningrum Risa Riski Amalia Rizki Mugi Setya Adi Sandhy Fernandes Satria Nur Saputro Satria, Muhammad Adhan Hady Siti Khomsah, Siti Siti Maghfiroh Surya Haganta Brema Ginting Tangguh Widodo Tavany Amalia Rizky Tiara Khumaira Putri Tri Ginanjar Laksana Tri Wulandari Utami Uli Ahda Raihan Ummi Athiyah Widi Afandi Yanuar Sabikhi Yehezkiel Nicholas Adanson Yeni Herdiyeni Zarkasih Akhmad